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      Unraveling the effect of silent, intronic and missense mutations on VWF splicing: contribution of next generation sequencing in the study of mRNA

      research-article
      1 , 2 , 1 , 3 , 3 , 4 , 4 , 3 , 3 , 3 , 1 , 2 , 2 , 5 , 5 , 5 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 33 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 1 , 2 , 41 , 1 , 2
      Haematologica
      Ferrata Storti Foundation

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          Abstract

          Large studies in von Willebrand disease patients, including Spanish and Portuguese registries, led to the identification of >250 different mutations. It is a challenge to determine the pathogenic effect of potential splice site mutations on VWF mRNA. This study aimed to elucidate the true effects of 18 mutations on VWF mRNA processing, investigate the contribution of next-generation sequencing to in vivo mRNA study in von Willebrand disease, and compare the findings with in silico prediction. RNA extracted from patient platelets and leukocytes was amplified by RT-PCR and sequenced using Sanger and next generation sequencing techniques. Eight mutations affected VWF splicing: c.1533+1G>A, c.5664+2T>C and c.546G>A (p.=) prompted exon skipping; c.3223-7_3236dup and c.7082-2A>G resulted in activation of cryptic sites; c.3379+1G>A and c.7437G>A) demonstrated both molecular pathogenic mechanisms simultaneously; and the p.Cys370Tyr missense mutation generated two aberrant transcripts. Of note, the complete effect of three mutations was provided by next generation sequencing alone because of low expression of the aberrant transcripts. In the remaining 10 mutations, no effect was elucidated in the experiments. However, the differential findings obtained in platelets and leukocytes provided substantial evidence that four of these would have an effect on VWF levels. In this first report using next generation sequencing technology to unravel the effects of VWF mutations on splicing, the technique yielded valuable information. Our data bring to light the importance of studying the effect of synonymous and missense mutations on VWF splicing to improve the current knowledge of the molecular mechanisms behind von Willebrand disease. clinicaltrials.gov identifier:02869074 .

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          Most cited references33

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          Splicing in disease: disruption of the splicing code and the decoding machinery.

          Human genes contain a dense array of diverse cis-acting elements that make up a code required for the expression of correctly spliced mRNAs. Alternative splicing generates a highly dynamic human proteome through networks of coordinated splicing events. Cis- and trans-acting mutations that disrupt the splicing code or the machinery required for splicing and its regulation have roles in various diseases, and recent studies have provided new insights into the mechanisms by which these effects occur. An unexpectedly large fraction of exonic mutations exhibit a primary pathogenic effect on splicing. Furthermore, normal genetic variation significantly contributes to disease severity and susceptibility by affecting splicing efficiency.
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            Nonsense-mediated mRNA decay: splicing, translation and mRNP dynamics.

            Studies of nonsense-mediated mRNA decay in mammalian cells have proffered unforeseen insights into changes in mRNA-protein interactions throughout the lifetime of an mRNA. Remarkably, mRNA acquires a complex of proteins at each exon-exon junction during pre-mRNA splicing that influences the subsequent steps of mRNA translation and nonsense-mediated mRNA decay. Complex-loaded mRNA is thought to undergo a pioneer round of translation when still bound by cap-binding proteins CBP80 and CBP20 and poly(A)-binding protein 2. The acquisition and loss of mRNA-associated proteins accompanies the transition from the pioneer round to subsequent rounds of translation, and from translational competence to substrate for nonsense-mediated mRNA decay.
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              Prediction of human mRNA donor and acceptor sites from the DNA sequence.

              Artificial neural networks have been applied to the prediction of splice site location in human pre-mRNA. A joint prediction scheme where prediction of transition regions between introns and exons regulates a cutoff level for splice site assignment was able to predict splice site locations with confidence levels far better than previously reported in the literature. The problem of predicting donor and acceptor sites in human genes is hampered by the presence of numerous amounts of false positives: here, the distribution of these false splice sites is examined and linked to a possible scenario for the splicing mechanism in vivo. When the presented method detects 95% of the true donor and acceptor sites, it makes less than 0.1% false donor site assignments and less than 0.4% false acceptor site assignments. For the large data set used in this study, this means that on average there are one and a half false donor sites per true donor site and six false acceptor sites per true acceptor site. With the joint assignment method, more than a fifth of the true donor sites and around one fourth of the true acceptor sites could be detected without accompaniment of any false positive predictions. Highly confident splice sites could not be isolated with a widely used weight matrix method or by separate splice site networks. A complementary relation between the confidence levels of the coding/non-coding and the separate splice site networks was observed, with many weak splice sites having sharp transitions in the coding/non-coding signal and many stronger splice sites having more ill-defined transitions between coding and non-coding.
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                Author and article information

                Journal
                Haematologica
                Haematologica
                haematol
                Haematologica
                Haematologica
                Ferrata Storti Foundation
                0390-6078
                1592-8721
                March 2019
                25 October 2018
                : 104
                : 3
                : 587-598
                Affiliations
                [1 ]Banc de Sang i Teixits, Barcelona, Spain
                [2 ]Institut de Recerca Vall d’Hebron -Universitat Autònoma de Barcelona (VHIR-UAB), Spain
                [3 ]Complexo Hospitalario Universitario A Coruña, INIBIC, Spain
                [4 ]Centro Hospitalar e Universitário de Coimbra, Portugal
                [5 ]Hospital Universitario y Politécnico La Fe, Valencia, Spain
                [6 ]Hospital Regional Universitario de Málaga, Spain
                [7 ]Hospital Universitario Dr. Negrín, Las Palmas de Gran Canaria, Spain
                [8 ]Hospital Universitario Marqués de Valdecilla, Santander, Spain
                [9 ]Salud Castilla y León, Segovia, Spain
                [10 ]Hospital Universitario Cruces, Barakaldo, Spain
                [11 ]Hospital Universitario de Guadalajara, Spain
                [12 ]Hospital Universitario Central de Asturias, Oviedo, Spain
                [13 ]Hospital Universitario Miguel Servet, Zaragoza, Spain
                [14 ]Hospital Universitario La Paz, Madrid, Spain
                [15 ]Hospital Infanta Cristina, Badajoz, Spain
                [16 ]Complexo Hospitalario Universitario Santiago de Compostela, Spain
                [17 ]Hospital Universitario Lucus Augusti, Lugo, Spain
                [18 ]Hospital Jerez de la Frontera, Cádiz, Spain
                [19 ]Hospital Virgen del Camino, Pamplona, Spain
                [20 ]Hospital San Pedro de Alcántara, Cáceres, Spain
                [21 ]Hospital Sant Joan de Deu, Barcelona, Spain
                [22 ]Hospital Sta Creu i St Pau, Barcelona, Spain
                [23 ]Hospital Universitario Fundación de Alcorcón, Madrid, Spain
                [24 ]Hospital General de Alicante, Spain
                [25 ]Hospital Regional Universitario Carlos Haya, Málaga, Spain
                [26 ]Hospital Universitario 12 de Octubre, Madrid, Spain
                [27 ]Hospital Clínico San Carlos, Madrid, Spain
                [28 ]Complejo Hospitalario de Jaén, Spain
                [29 ]Fundación Jiménez Díaz, Madrid, Spain
                [30 ]Hospital Nuestra Sra. de Sonsoles de Ávila, Spain
                [31 ]Hospital Joan XXIII, Tarragona, Spain
                [32 ]Hospital Ramón y Cajal, Madrid, Spain
                [33 ]Hospital Montecelo, Pontevedra, Spain
                [34 ]Hospital Río Hortega, Valladolid, Spain
                [35 ]Hospital Gregorio Marañón, Madrid, Spain
                [36 ]Hospital Virgen de la Salud, Toledo, Spain
                [37 ]Hospital Severo Ochoa, Madrid, Spain
                [38 ]Hospital Universitario Virgen Arrixaca, Murcia, Spain
                [39 ]Hospital Lozano Blesa, Zaragoza, Spain
                [40 ]Hospital Santa Bárbara, Soria, Spain
                [41 ]CIBER de Enfermedades Cardiovasculares, Madrid, Spain
                Author notes
                Correspondence: IRENE CORRALES icorrales@ 123456bst.cat / fvidal@ 123456bst.cat
                Article
                1040587
                10.3324/haematol.2018.203166
                6395343
                30361419
                e45de8d7-1126-4d3a-8e51-09c1e8c6c9ae
                Copyright© 2019 Ferrata Storti Foundation

                Material published in Haematologica is covered by copyright. All rights are reserved to the Ferrata Storti Foundation. Use of published material is allowed under the following terms and conditions:

                https://creativecommons.org/licenses/by-nc/4.0/legalcode. Copies of published material are allowed for personal or internal use. Sharing published material for non-commercial purposes is subject to the following conditions:

                https://creativecommons.org/licenses/by-nc/4.0/legalcode, sect. 3. Reproducing and sharing published material for commercial purposes is not allowed without permission in writing from the publisher.

                History
                : 03 August 2018
                : 19 October 2018
                Categories
                Article
                Hemostasis

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